Triple
T3327736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan Michael Douglas |
E69957
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dylan |
E327786
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dylan | Statement: [Dylan Michael Douglas, givenName, Dylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dylan Context triple: [Dylan Michael Douglas, givenName, Dylan]
-
A.
Dylan
chosen
Dylan is one of the children of Tanzanian Bongo Flava star and music entrepreneur Diamond Platnumz.
-
B.
Sir Dylan
Sir Dylan is a music producer best known for his work on Miguel’s album "War & Leisure."
-
C.
Cas and Dylan
Cas and Dylan is a 2013 Canadian road trip dramedy film starring Tatiana Maslany and Richard Dreyfuss, following an unlikely friendship that develops during a cross-country journey.
-
D.
Jakob Dylan
Jakob Dylan is an American singer-songwriter and the lead vocalist and primary songwriter for the rock band The Wallflowers.
-
E.
Bob Dylan
Bob Dylan is an influential American singer-songwriter and cultural icon whose poetic lyrics and groundbreaking work in popular music earned him the Nobel Prize in Literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb16f61248190bab10f4ac9e066f7 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a7ce34c81908df0c30a41fd925c |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.